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United Kingdom
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ETF market
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CMOD
INVESCO MARKETS PLC INVESCO BLOOMBERG CMDTY UCITS ETF A GBP
CMOD
London Stock Exchange
CMOD
London Stock Exchange
CMOD
London Stock Exchange
CMOD
London Stock Exchange
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
CMOD
chart
Price
NAV
More
Full chart
1 day
1.11%
5 days
−0.86%
1 month
−0.47%
6 months
−2.84%
Year to date
2.49%
1 year
3.09%
5 years
34.30%
All time
27.51%
Key stats
Assets under management (AUM)
2.75 B
USD
Fund flows (1Y)
554.48 M
USD
Dividend yield (indicated)
—
Discount/Premium to NAV
0.9%
About INVESCO MARKETS PLC INVESCO BLOOMBERG CMDTY UCITS ETF A GBP
Issuer
Invesco Ltd.
Brand
Invesco
Expense ratio
0.19%
Home page
etf.invesco.com
Inception date
Jan 9, 2017
Index tracked
Bloomberg Commodity Index
Management style
Passive
ISIN
IE00BD6FTQ80
The Invesco Bloomberg Commodity UCITS ETF aims to provide the total return performance of the Bloomberg Commodity Index (the Reference Index), less the impact of fees.
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Classification
Asset Class
Commodities
Category
Broad market
Focus
Broad market
Niche
Laddered
Strategy
Laddered
Weighting scheme
Multi-factor
Selection criteria
Fixed
CMOD
analysis
What's in the fund
Exposure type
Bonds, Cash & Other
Futures
Bonds, Cash & Other
100.00%
Futures
100.00%
Cash
−0.00%
Technicals
Summarizing what the indicators are
suggesting.
Oscillators
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Oscillators
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Moving Averages
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Moving Averages
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Seasonals
Displays a symbol's price movements over previous years to identify recurring trends.